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Proarrhythmic risk assessment of drugs by dVm/dt shapes using the convolutional neural network
Abstract Comprehensive in vitro Proarrhythmia Assay (CiPA) projects for assessing proarrhythmic drugs suggested a logistic regression model using qNet as the Torsades de Pointes (TdP) risk assessment biomarker, obtained from in silico simulation. However, using a single in silico feature, such as qN...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Wiley
2022-05-01
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| Edice: | CPT: Pharmacometrics & Systems Pharmacology |
| On-line přístup: | https://doi.org/10.1002/psp4.12803 |
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